ACEEE Int. J. on Network Security , Vol. 02, No. 02, Apr 2011 content-based portal and coordinating for content organization, designing and developing content. And also we are supporting learner’s requirements over the portal. Our future research work will be to design a more effective and efficient methodology for content based E-Learning systems. VI.REFERENCES [1] Victor Pankratius , Gottfried Vossen, “Towards E-Learning Grids: Using Grid Computing in Electronic Learning”, Pages 415,Oct 2003 [2] M. Flickner et al., “Query By Image and video Content: the QBIC system”, IEEE Computer, September 1995, pages 23–32. [3] K. Otsuji and Y. Tonomura,” Projection-detecting filter for video cut detection”, Multimedia Systems, Vol. 1, 1994, pages 205–210. [4] J. Fan, A. K. Elmagarmid, X. Zhu, W. G. Aref, and L. Wu.,” Classview: Hierarchical video shot classification, indexing, and accessing”, IEEE Transactions on Multimedia, vol. 6, 2004, pages 70–86. [5] M. L. Cascia and E. Ardizzone, “JACOB: Just a content-based query system for video databases”, In IEEE Int. Conf. on Acoustics, Speech and Signal Processing, May 1996, pages 1216–1219. [6] Joël Fislera, Franziska Schneidera, “Creating, handling and implementing e-learning courses and content using the open source tools olat and elml at the university of zurich “, aUniversity of Zurich, IT Services, Winterthurerstr, 2008 [7] JohanW. H. Tangelder · Remco C. Veltkamp, “A survey of content based 3D shape retrieval methods”, 2007 [8] Q. Lv, M. Charikar, and K. Li. Image similarity search with compact data structures. In Proc. of the 13th ACM Conf. on Information and Knowledge Management, pages 208–217,2004.
In this paper, we present the efficient searching algorithm from the content based environment. Using this, we have built E-Learning multimodal direct search systems for image, audio, and 3D shape model data. An external research group has also used for genomic data analysis. Our experience has shown that it is straightforward to use Content Based Retrieval method. In summary, there is a great need to extract semantic indices for making the CBR system serviceable to the user. Though extracting all such indices might not be possible, there is a great scope for furnishing the semantic indices with a certain well-established structure. Fortunately, our work shares many goals with several other active Web-related research areas, enabling us to re-use possible standards, solutions and ideas from these areas. It gives our group, along with other similarly-motivated groups, a good chance of succeeding in bringing this new generation of adaptive ELearning systems and tools to the educational world. We need more time to find out more optimum searching methodology to search content. We are now working on a
© 2011 ACEEE
DOI: 01.IJNS.02.02.258
49